A tool for mining HTTP request frequent patterns

EAFIM: efficient apriori-based frequent itemset mining algorithmon Spark for big transactional data

this is a backend application using springboot to implement the apriori method for association rules generation

An implementation of the FP Growth algorithm for support counting

Scalable Graph Mining

Some Code was done for mining frequent top k patterns

Implementation of Static mining part of "Mining maximal frequent patterns in transactional databases and dynamic data streams: A spark-based approach" Information Sciences, Volume 432, March 2018, Pages 278-300

Distributed frequent sequence mining with declarative subsequence constraints

Association Rule Mining using Apriori algorithm and FP-tree

Directed Multigraph Miner (DMGM)

Package provides java implementation of frequent pattern mining algorithms such as apriori, fp-growth